Akash Ailapuram
Data Analyst & Data Science Enthusiast
Passionate about transforming raw data into actionable insights through advanced analytics, machine learning, and business intelligence. Focused on building scalable data solutions that drive informed decision-making.
Education
Bachelor of Technology in Computer Science Engineering
JNTU Hyderabad
2021 – 2025
GPA: 8.5 / 10
Technical Skills
Featured Projects
Showcasing practical experience in data analytics, machine learning, and business intelligence. Each project demonstrates end-to-end problem-solving from data collection to actionable insights.
Customer Churn Prediction Model
Machine learning model to predict customer churn using classification algorithms, achieving 92% accuracy on test data.
Real-Time Sales Dashboard
Interactive Power BI dashboard for tracking real-time sales metrics and KPIs across multiple regions.
Predictive Analytics Pipeline
Automated data pipeline for exploratory data analysis and predictive modeling on streaming data sources.
Certifications
Google Data Analytics Professional Certificate
Mar 2025
ID: GA-2025-03-001
Microsoft Certified: Data Analyst Associate
Microsoft
Feb 2025
ID: MS-DA-2025-02-001
Advanced SQL for Data Analysis
DataCamp
Dec 2024
ID: DC-SQL-2024-12-001
Soft Skills
Problem Solving
Breaking down complex data challenges into systematic, solvable components.
Communication
Translating technical findings into clear, actionable business insights.
Analytical Thinking
Applying structured reasoning to extract patterns from complex datasets.
Teamwork
Collaborating effectively in cross-functional teams to deliver data-driven solutions.
Leadership
Guiding project direction and mentoring peers in data analysis best practices.
Adaptability
Quickly learning new tools and methodologies in a rapidly evolving field.
Achievements
Dean's List Award
2024
Tap to read moreRecognized for academic excellence with a GPA in the top 5% of the department.
Tap to closeData Science Competition — 2nd Place
2024
Tap to read moreBuilt a predictive model achieving 94% accuracy in a university-wide data science hackathon.
Tap to closeResearch Paper Published
2025
Tap to read moreCo-authored a paper on predictive analytics in healthcare presented at a national conference.
Tap to closeOpen Source Contribution
2024
Tap to read moreContributed data preprocessing modules to a popular Python ML library with 500+ GitHub stars.
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